Deep convolutional neural networks for the detection of diarrhea and respiratory disease in preweaning dairy calves using data from automated milk feeders
ABSTRACT: The objective of the current study was to develop a predictive model for calf disease detection in the preweaning period using data from automated milk feeders (AMF). A deep convolutional neural network (CNN) architecture for the detection of respiratory disease and diarrhea in dairy calve...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Journal of Dairy Science |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0022030222006099 |